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A
Abhishek P.

Abhishek P.

AI/LLM Analyst

India flagNoida, India

Key Skills

Software

Data Annotation TechData Annotation Tech

Top Subject Matter

Large Language Models and AI/ML Datasets
Trust and Safety for Online Platforms
Legal Services & Contract Review

Top Data Types

TextText
ImageImage
VideoVideo
DocumentDocument

Top Task Types

ClassificationClassification

Freelancer Overview

AI/LLM Analyst. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Master of Computer Application, AKTU (2024) and Bachelor of Computer Application, CSJMU (2024). AI-training focus includes data types such as Text and Image and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

AI/LLM Analyst

TextText

As an AI/LLM Analyst at Innodata Inc., I performed data annotation and labeling for AI/ML training datasets with a focus on Large Language Models. My responsibilities included evaluating and optimizing model outputs using established rubrics and quality assurance protocols. Additionally, I designed prompts to enhance model performance and collaborated with cross-functional teams to ensure dataset quality. • Conducted comprehensive data annotation and evaluation for LLM outputs. • Designed and refined prompts for various business and content domains. • Provided targeted feedback for model fine-tuning and improvement. • Ensured alignment of labeled data with regulatory and organizational standards.

2026 - Present

Trust and Safety Analyst – Google Project AVMS

ImageImageClassificationClassification

As a Trust and Safety Analyst on the Google Project AVMS at Tech Mahindra, I reviewed and classified large volumes of user-generated content, including images, text, and video, for policy compliance. My role involved annotating and labeling content to identify violations such as abuse, misinformation, and hate speech. I maintained high accuracy in content moderation decisions and contributed to the refinement of platform safety protocols. • Classified and moderated user-generated content across multiple data types. • Labeled content for abuse, policy violation, and misinformation categories. • Ensured consistent compliance with trust and safety guidelines. • Played a key role in improving trust and safety operational processes.

2024 - 2025

Education

C

CSJMU

Bachelor of Computer Application, Computer Application

Bachelor of Computer Application
2021 - 2024
A

AKTU

Master of Computer Application, Computer Application

Master of Computer Application
2024

Work History

T

Tech Mahindra Limited

Trust and Safety Analyst

Noida
2024 - 2025